Director, Advanced Manufacturing Analytics

Director, Advanced Manufacturing Analytics

At Alcon, we're passionate about enhancing sight and helping people see brilliantly. With more than 25,000 associates, we innovate fearlessly, champion progress, and act swiftly to impact global eye health. We foster an inclusive culture, recognizing your contributions and offering opportunities to grow your career like never before. Together, we make a difference in the lives of our patients and customers. Are you ready to join us?

We foster an inclusive culture and are looking for diverse, talented people to join Alcon. Alcon is accelerating its digital manufacturing ambitions, integrating modern operational technologies with enterprise digital systems to enable world‑class performance across its 16+ global manufacturing sites and across the full supply chain. Central to this transformation is the strategic development and deployment of insights and functionality on top the digital landscape.

The Director of Advanced Manufacturing Analytics will own the strategic development and deployment of advanced data analytics capabilities across a multi‑site manufacturing and supply chain network. This is a business- and application-focused role that identifies high‑value opportunities, rapidly pilots solutions, and scales proven capabilities to all sites by orchestrating internal data science and data engineering teams, site operations, and selected third‑party partners.

You will also serve as the business owner for global KPI dashboards, evolving them into predictive and prescriptive tools for metrics such as Purchase Price Variance (PPV), Inventory, Yield, OEE, Schedule Attainment, and more.

In this role, a typical day will include:

Enterprise Data Science Strategy for Manufacturing

• Manage a 2–3-year capability roadmap aligned to manufacturing priorities
• Define a portfolio of scalable use cases with clear value hypotheses, ROI models, and adoption plans

Rapid Pilots → Scaled Deployment

• Stand up lean pilots in weeks, not months, to gain quick insight into the rapidly evolving AI/ML and visualization landscape
• Codify pilots into repeatable playbooks and templates; drive scale‑up to all eligible sites

Global KPI Ownership & Evolution

• Own business definition, data lineage, and governance for global dashboards (e.g., PPV, inventory, OEE)
• Extend dashboards with advanced capabilities including forecasting, anomaly detection, scenario simulation, and automated alerts

Partner Ecosystem & Vendor Strategy

• Identify and manage 3rd‑party providers to complement internal teams to speed up time‑to‑value.
• Structure outcome‑based SOWs, price-to-value models, and success criteria.

Manufacturing Data P